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            <title>DidaWiki</title>
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            <title></title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/abstract</link>
            <description>Il contributo della Social Network Analysis (Analisi delle reti sociali) alla “peace research”

Andrea Salvini

Cosa hanno in comune le guerre tra stati nell’ultimo secolo, le dinamiche di conflitto tra gruppi sociali diversi e le interazioni aggressive tra adolescenti? Quali sono le forme che assume la diseguaglianza socio-economica a livello globale e a livello locale? Quali sono le condizioni strutturali che favoriscono la collaborazione tra attori sociali o, al contrario, che generano confli…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 02 Jun 2014 23:17:32 +0000</pubDate>
        </item>
        <item>
            <title>Social Network Analytics, Data Ethics &amp; Privacy-preserving Analytics</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/acm-athens-july2017</link>
            <description>Social Network Analytics, Data Ethics &amp; Privacy-preserving Analytics

	*  Dino Pedreschi Università di Pisa, Knowledge Discovery and Data Mining Lab &lt;pedre@di.unipi.it&gt;

1st ACM European Summer School on Data Science, Athens, July 2017

Schedule

	*  Friday, July 15, 2017: h 09:00 - 18:00

Social Network Analytics</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Sat, 15 Jul 2017 09:53:13 +0000</pubDate>
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        <item>
            <title>Esercizio 1</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/esercizio1</link>
            <description>Esercizio 1

L&#039;esercizio consiste nella creazione di una rete, e nella sua completa analisi, basata su domande analitiche interessanti da porsi sulla rete stessa.

Per semplificare la creazione della rete, diamo un crawler, scritto in linguaggio Perl, degli articoli del New York Times. Per prima cosa, scaricare il crawler</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Thu, 23 Dec 2010 17:50:29 +0000</pubDate>
        </item>
        <item>
            <title></title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/janoskertesz2017</link>
            <description>Introduction to Network Science

Title: Introduction to Network Science

Lecturer: Prof. Janos Kertesz (Central European University, Budapest)
Period: January 24 to February 22

Syllabus: Introduction: Complex systems and complex networks. Percolation model, scale invariance. Basic notions of graph theory. Erdős-Rényi graphs, Watts Strogatz model, configuration model, network growth models. Weighted and signed networks. Motifs and modules. Error tolerance and vulnerability against intentional at…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Tue, 07 Mar 2017 09:16:42 +0000</pubDate>
        </item>
        <item>
            <title></title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/large_graph_processing</link>
            <description>Franco Piccinno: Large Graph Processing

The main topic of this seminar is large graph processing. We will try to understand what are the problems that arise when dealing with large datasets and which are the most used solutions today. Specifically we will introduce the Bulk Synchronous Parallel (BSP) model that allows us to process extremely large graphs by distributing the computation to cluster of machines. We will then move our attention to graph compression. We will survey two interesting g…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 02 Jun 2014 23:18:34 +0000</pubDate>
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        <item>
            <title></title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/models_for_evolving_graphs</link>
            <description>Tiziano De Matteis: Models for evolving graph

During the last years, networks have been studied in order to understand, predict and optimize the behaviour of dynamic systems.  Various models of network evolution have been proposed, principally based on the observation of static graphs. Hovewer, network evolve over time with the addition/deletion of nodes and edges. Leskovec et. al studied the dynamics of various real network, analyzing their key properties. In various works they propose novel m…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 02 Jun 2014 23:17:52 +0000</pubDate>
        </item>
        <item>
            <title>PhD Workshop on Social network analysis</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/phd_workshop_2013</link>
            <description>PhD Workshop on Social network analysis

Aula Seminari Ovest, Dipartimento di Informatica
Monday 27 May 2013, h 14:00 - 18:00

Program: 

	*  Mahdi Amani: Developing bottom-up approach for Community discovery and Community embedding
	*  Patrick Mukala: Network Analysis for Collaboration and Contribution patterns Recognition in Free/Libre Open Source Software Projects</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 27 May 2013 06:07:20 +0000</pubDate>
        </item>
        <item>
            <title>Social Network Analysis - Crash Course at Universitat Pompeu Fabra - Barcelona - May 2016</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/pompeufabra2016</link>
            <description>Social Network Analysis - Crash Course at Universitat Pompeu Fabra - Barcelona - May 2016

	*  Dino Pedreschi Università di Pisa, Knowledge Discovery and Data Mining Lab &lt;pedre@di.unipi.it&gt;

Schedule

	*  Monday, May 23: h 14:00 - 19:00
	*  Tuesday, May 24: h 10:00 - 13:00, h 15:00-17:00</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 25 May 2016 08:29:25 +0000</pubDate>
        </item>
        <item>
            <title></title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/spreading_in_distributed_online_social_networks</link>
            <description>Andrea De Salve: Spreading in Distributed Online Social Networks

Online Social Networks (OSNs) typically exploit logically centralized infrastructure. The centralized nature of OSNs has several drawbacks including scalability, privacy, and dependence on a provider. A Distributed Online Social Network (DOSN) helps to lower the cost of the provider drastically, and allows better control of user privacy. One main challenge of decentralization is related to the diffusion of the users&#039; contents. The…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 02 Jun 2014 23:18:16 +0000</pubDate>
        </item>
        <item>
            <title>Social Network Analysis</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/start</link>
            <description>Social Network Analysis

	*  Dino Pedreschi Università di Pisa, Knowledge Discovery and Data Mining Lab &lt;pedre@di.unipi.it&gt;

	*  Teaching assistants: Luca Pappalardo &lt;lpappalardo@di.unipi.it&gt; and Giulio Rossetti &lt;giulio.rossetti@isti.cnr.it&gt;, Knowledge Discovery and Data Mining Lab 

News

	*  Next exam session: September 2nd 2015, h 9:00, Pedreschi&#039;s office</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Fri, 04 Nov 2022 12:35:20 +0000</pubDate>
        </item>
        <item>
            <title>Web Mining ed Analisi delle Reti Sociali 2008-2009</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/wma20082009</link>
            <description>Web Mining ed Analisi delle Reti Sociali 2008-2009

Docenti:

	*  Dino Pedreschi &lt;dino.pedreschi@di.unipi.it&gt; 
	*  Fabrizio Silvestri (ISTI-CNR) &lt;fabrizio.silvestri@isti.cnr.it&gt;

Novità

	*  Il docente, Prof. Pedreschi, è in congedo per l&#039;anno accademico 2009-2010. Il corso sarà tenuto dal Dr Fabrizio Silvestri (ISTI-CNR).</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Fri, 05 Nov 2010 15:52:04 +0000</pubDate>
        </item>
        <item>
            <title>Web Mining ed Analisi delle Reti Sociali 2010 - 2011</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/wma20102011</link>
            <description>Web Mining ed Analisi delle Reti Sociali 2010 - 2011

Docenti:

	*  Dino Pedreschi &lt;dino.pedreschi@di.unipi.it&gt; 
	*  Fabrizio Silvestri (ISTI-CNR) &lt;fabrizio.silvestri@isti.cnr.it&gt;
	*  Michele Berlingerio (ISTI-CNR) &lt;michele.berlingerio@isti.cnr.it&gt;

Novità

	*  Appelli di esame: venerdi 4 febbraio ore 9:00 aula B1, venerdi 4 marzo ore 9:00 aula B1</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Thu, 22 Mar 2012 21:08:01 +0000</pubDate>
        </item>
        <item>
            <title>Web Mining and Social Network Analysis 2011-2012</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/wma20112012</link>
            <description>Web Mining and Social Network Analysis 2011-2012

	*  Dino Pedreschi Università di Pisa, Knowledge Discovery and Data Mining Lab &lt;pedre@di.unipi.it&gt;

News

	*  Appelli sessione invernale 2012-2013: martedì 22 gennaio 2013 ore 9:00 aula A, martedì 12 febbraio 2013 ore 9:00 aula C</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Thu, 21 Feb 2013 17:29:22 +0000</pubDate>
        </item>
        <item>
            <title>Web Mining and Social Network Analysis 2012/2013</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/wma20122013</link>
            <description>Web Mining and Social Network Analysis 2012/2013

	*  Dino Pedreschi Università di Pisa, Knowledge Discovery and Data Mining Lab &lt;pedre@di.unipi.it&gt;

News

	*  Exam dates: 10 June h 14:00 - 26 June h 09:00 - 11 July h 09.00. In these dates a calendar of oral examinations will be set. Exams will take place in Pedreschi&#039;s office.</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Sun, 02 Mar 2014 21:41:33 +0000</pubDate>
        </item>
        <item>
            <title>Web Mining and Social Network Analysis 2014</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/wma/wma20132014</link>
            <description>Web Mining and Social Network Analysis 2014

	*  Dino Pedreschi Università di Pisa, Knowledge Discovery and Data Mining Lab &lt;pedre@di.unipi.it&gt;

	*  Teaching assistants: Luca Pappalardo &lt;lpappalardo@di.unipi.it&gt; and Giulio Rossetti &lt;giulio.rossetti@isti.cnr.it&gt;, Knowledge Discovery and Data Mining Lab 

News

	*  Next exam session: Friday, September 12, 2014</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 23 Feb 2015 17:38:51 +0000</pubDate>
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